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dc.contributor.authorCarreras Pérez, Xavier
dc.contributor.authorCollins, Michael
dc.date.accessioned2010-10-19T12:09:43Z
dc.date.available2010-10-19T12:09:43Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationCarreras, X.; Collins, M. Non-projective parsing for statistical machine translation. A: Conference on Empirical Methods in Natural Language Processing. "Conference on Empirical Methods in Natural Language Processing 2009". Singapur: 2009, p. 200-209.
dc.identifier.urihttp://hdl.handle.net/2117/9813
dc.description.abstractWe describe a novel approach for syntaxbased statistical MT, which builds on a variant of tree adjoining grammar (TAG). Inspired by work in discriminative dependency parsing, the key idea in our approach is to allow highly flexible reordering operations during parsing, in combination with a discriminative model that can condition on rich features of the sourcelanguage string. Experiments on translation from German to English show improvements over phrase-based systems, both in terms of BLEU scores and in human evaluations.
dc.format.extent10 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshComputational linguistics
dc.titleNon-projective parsing for statistical machine translation
dc.typeConference report
dc.subject.lemacLingüística computacional
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://aclweb.org/anthology-new/D/D09/D09-1021.pdf
dc.rights.accessOpen Access
local.identifier.drac2752725
dc.description.versionPostprint (author’s final draft)
local.citation.authorCarreras, X.; Collins, M.
local.citation.contributorConference on Empirical Methods in Natural Language Processing
local.citation.pubplaceSingapur
local.citation.publicationNameConference on Empirical Methods in Natural Language Processing 2009
local.citation.startingPage200
local.citation.endingPage209


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